Foundations Of Computational Imaging

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Foundations of Computational Imaging

Charles A. Bouman
Foundations of Computational Imaging Book PDF

Author : Charles A. Bouman
Publisher : SIAM
Page : 350 pages
File Size : 44,6 Mb
Release : 2022-07-06
Category : Mathematics
ISBN : 9781611977134

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Foundations of Computational Imaging by Charles A. Bouman Pdf

Collecting a set of classical and emerging methods previously unavailable in a single resource, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Readers will find basic techniques of model-based image processing, a comprehensive treatment of Bayesian and regularized image reconstruction methods, and an integrated treatment of advanced reconstruction techniques, such as majorization, constrained optimization, alternating direction method of multipliers (ADMM), and Plug-and-Play methods for model integration. Foundations of Computational Imaging can be used in courses on model-based or computational imaging, advanced numerical analysis, data science, numerical optimization, and approximation theory. It will also prove useful to researchers or practitioners in medical, scientific, commercial, and industrial imaging.

Computational Imaging

Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Computational Imaging Book PDF

Author : Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Publisher : MIT Press
Page : 482 pages
File Size : 51,9 Mb
Release : 2022-10-25
Category : Technology & Engineering
ISBN : 9780262046473

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Computational Imaging by Ayush Bhandari,Achuta Kadambi,Ramesh Raskar Pdf

A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.

Computational Photography

Rastislav Lukac
Computational Photography Book PDF

Author : Rastislav Lukac
Publisher : CRC Press
Page : 564 pages
File Size : 55,7 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781439817506

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Computational Photography by Rastislav Lukac Pdf

Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics—and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book: Describes single capture image fusion technology for consumer digital cameras Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images Presents machine-learning methods for automatic image colorization and digital face beautification Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others.

Digital Geometry Algorithms

Valentin E. Brimkov,Reneta P. Barneva
Digital Geometry Algorithms Book PDF

Author : Valentin E. Brimkov,Reneta P. Barneva
Publisher : Springer Science & Business Media
Page : 430 pages
File Size : 44,9 Mb
Release : 2012-05-20
Category : Technology & Engineering
ISBN : 9789400741744

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Digital Geometry Algorithms by Valentin E. Brimkov,Reneta P. Barneva Pdf

Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects of digital geometry have been addressed in the literature. This book is the first one that explicitly focuses on the presentation of the most important digital geometry algorithms. Each chapter provides a brief survey on a major research area related to the general volume theme, description and analysis of related fundamental algorithms, as well as new original contributions by the authors. Every chapter contains a section in which interesting open problems are addressed.

Computational Imaging

Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Computational Imaging Book PDF

Author : Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Publisher : MIT Press
Page : 482 pages
File Size : 45,8 Mb
Release : 2022-10-25
Category : Technology & Engineering
ISBN : 9780262368377

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Computational Imaging by Ayush Bhandari,Achuta Kadambi,Ramesh Raskar Pdf

A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.

Theoretical Foundations of Digital Imaging Using MATLAB®

Leonid P. Yaroslavsky
Theoretical Foundations of Digital Imaging Using MATLAB Book PDF

Author : Leonid P. Yaroslavsky
Publisher : CRC Press
Page : 517 pages
File Size : 45,7 Mb
Release : 2012-11-26
Category : Technology & Engineering
ISBN : 9781439861400

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Theoretical Foundations of Digital Imaging Using MATLAB® by Leonid P. Yaroslavsky Pdf

With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the subject in its entirety, from image formation to image perfecting. Based on the author’s 50 years of working and teaching in the field, the text first addresses the problem of converting images into digital signals that can be stored, transmitted, and processed on digital computers. It then explains how to adequately represent image transformations on computers. After presenting several examples of computational imaging, including numerical reconstruction of holograms and virtual image formation through computer-generated display holograms, the author introduces methods for image perfect resampling and building continuous image models. He also examines the fundamental problem of the optimal estimation of image parameters, such as how to localize targets in images. The book concludes with a comprehensive discussion of linear and nonlinear filtering methods for image perfecting and enhancement. Helping you master digital imaging, this book presents a unified theoretical basis for understanding and designing methods of imaging and image processing. To facilitate a deeper understanding of the major results, it offers a number of exercises supported by MATLAB programs, with the code available at www.crcpress.com.

Geometry, Morphology, and Computational Imaging

Tetsuo Asano,Reinhard Klette,Christian Ronse
Geometry Morphology and Computational Imaging Book PDF

Author : Tetsuo Asano,Reinhard Klette,Christian Ronse
Publisher : Springer
Page : 446 pages
File Size : 45,9 Mb
Release : 2014-03-12
Category : Computers
ISBN : 3662162776

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Geometry, Morphology, and Computational Imaging by Tetsuo Asano,Reinhard Klette,Christian Ronse Pdf

This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April 2002. The 27 revised full papers presented went through two rounds of reviewing and improvement and assess the state of the art in geometry, morphology, and computational imaging. The papers are organized in sections on geometry - models and algorithms; property measurement in the grid and on finite samples; features, shape, and morphology; and computer vision and scene analysis.

Geometry, Morphology, and Computational Imaging

Tetsuo Asano,Reinhard Klette
Geometry Morphology and Computational Imaging Book PDF

Author : Tetsuo Asano,Reinhard Klette
Publisher : Springer Science & Business Media
Page : 449 pages
File Size : 46,6 Mb
Release : 2003-04-08
Category : Computers
ISBN : 9783540009160

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Geometry, Morphology, and Computational Imaging by Tetsuo Asano,Reinhard Klette Pdf

This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April 2002. The 27 revised full papers presented went through two rounds of reviewing and improvement and assess the state of the art in geometry, morphology, and computational imaging. The papers are organized in sections on geometry - models and algorithms; property measurement in the grid and on finite samples; features, shape, and morphology; and computer vision and scene analysis.

Foundations of Computer Vision

James F. Peters
Foundations of Computer Vision Book PDF

Author : James F. Peters
Publisher : Springer
Page : 431 pages
File Size : 52,7 Mb
Release : 2017-03-17
Category : Computers
ISBN : 9783319524832

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Foundations of Computer Vision by James F. Peters Pdf

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.

Foundations of Image Understanding

Larry S. Davis
Foundations of Image Understanding Book PDF

Author : Larry S. Davis
Publisher : Springer Science & Business Media
Page : 496 pages
File Size : 51,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461515296

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Foundations of Image Understanding by Larry S. Davis Pdf

Computer systems that analyze images are critical to a wide variety of applications such as visual inspections systems for various manufacturing processes, remote sensing of the environment from space-borne imaging platforms, and automatic diagnosis from X-rays and other medical imaging sources. Professor Azriel Rosenfeld, the founder of the field of digital image analysis, made fundamental contributions to a wide variety of problems in image processing, pattern recognition and computer vision. Professor Rosenfeld's previous students, postdoctoral scientists, and colleagues illustrate in Foundations of Image Understanding how current research has been influenced by his work as the leading researcher in the area of image analysis for over two decades. Each chapter of Foundations of Image Understanding is written by one of the world's leading experts in his area of specialization, examining digital geometry and topology (early research which laid the foundations for many industrial machine vision systems), edge detection and segmentation (fundamental to systems that analyze complex images of our three-dimensional world), multi-resolution and variable resolution representations for images and maps, parallel algorithms and systems for image analysis, and the importance of human psychophysical studies of vision to the design of computer vision systems. Professor Rosenfeld's chapter briefly discusses topics not covered in the contributed chapters, providing a personal, historical perspective on the development of the field of image understanding. Foundations of Image Understanding is an excellent source of basic material for both graduate students entering the field and established researchers who require a compact source for many of the foundational topics in image analysis.

Foundations of Computation

Carol Critchlow,David Eck
Foundations of Computation Book PDF

Author : Carol Critchlow,David Eck
Publisher : Unknown
Page : 256 pages
File Size : 46,9 Mb
Release : 2011
Category : Computers
ISBN : OCLC:1000322544

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Foundations of Computation by Carol Critchlow,David Eck Pdf

Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

Rough Fuzzy Image Analysis

Sankar K. Pal,James F. Peters
Rough Fuzzy Image Analysis Book PDF

Author : Sankar K. Pal,James F. Peters
Publisher : CRC Press
Page : 259 pages
File Size : 54,6 Mb
Release : 2010-05-04
Category : Computers
ISBN : 9781439803301

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Rough Fuzzy Image Analysis by Sankar K. Pal,James F. Peters Pdf

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and

Variational Methods in Image Processing

Luminita A. Vese,Carole Le Guyader
Variational Methods in Image Processing Book PDF

Author : Luminita A. Vese,Carole Le Guyader
Publisher : CRC Press
Page : 416 pages
File Size : 41,7 Mb
Release : 2015-11-18
Category : Computers
ISBN : 9781439849743

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Variational Methods in Image Processing by Luminita A. Vese,Carole Le Guyader Pdf

Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve t

Principles of Computerized Tomographic Imaging

Avinash C. Kak,Malcolm Slaney
Principles of Computerized Tomographic Imaging Book PDF

Author : Avinash C. Kak,Malcolm Slaney
Publisher : SIAM
Page : 335 pages
File Size : 42,7 Mb
Release : 2001-01-01
Category : Mathematics
ISBN : 9780898714944

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Principles of Computerized Tomographic Imaging by Avinash C. Kak,Malcolm Slaney Pdf

A comprehensive, tutorial-style introduction to the algorithms necessary for tomographic imaging.

Optical Imaging and Spectroscopy

David J. Brady
Optical Imaging and Spectroscopy Book PDF

Author : David J. Brady
Publisher : John Wiley & Sons
Page : 530 pages
File Size : 47,8 Mb
Release : 2009-04-27
Category : Science
ISBN : 9780470443729

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Optical Imaging and Spectroscopy by David J. Brady Pdf

An essential reference for optical sensor system design This is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design. It presents the foundations of computational optical sensor design with a focus entirely on digital imaging and spectroscopy. It systematically covers: Coded aperture and tomographic imaging Sampling and transformations in optical systems, including wavelets and generalized sampling techniques essential to digital system analysis Geometric, wave, and statistical models of optical fields The basic function of modern optical detectors and focal plane arrays Practical strategies for coherence measurement in imaging system design The sampling theory of digital imaging and spectroscopy for both conventional and emerging compressive and generalized measurement strategies Measurement code design Linear and nonlinear signal estimation The book concludes with a review of numerous design strategies in spectroscopy and imaging and clearly outlines the benefits and limits of each approach, including coded aperture and imaging spectroscopy, resonant and filter-based systems, and integrated design strategies to improve image resolution, depth of field, and field of view. Optical Imaging and Spectroscopy is an indispensable textbook for advanced undergraduate and graduate courses in optical sensor design. In addition to its direct applicability to optical system design, unique perspectives on computational sensor design presented in the text will be of interest for sensor designers in radio and millimeter wave, X-ray, and acoustic systems.